{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Madhav Joshi\Box\2021 Research\Why some countries get old leaders\Research & Politics\R&P log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Apr 2021, 16:35:06
{txt}
{com}. 
. hist office_entry_age if _merge==3 & sample==1, normal kdensity
{txt}(bin={res}30{txt}, start={res}18{txt}, width={res}2.3333333{txt})
{res}{txt}
{com}. 
. //edit COWcode year cname leader ebirthdate borndate years_inoffice year_in yrborn   eindate startdate enddate office_entry_age lag_v2xel_frefair age_70 ///
. //lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65  post_coldwar ///
. //africa asia ocenia north_america south_america year_1946_55 year_1956_65 year_1966_75 year_1976_85 year_1986_95 year_1996_05 year_2006_15 if _merge==3 & sample==1
. sum office_entry_age lag_v2xel_frefair age_65above lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65  post_coldwar africa ///
> asia ocenia north_america lag_v2x_polyarchy south_america if _merge==3 & sample==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
office_ent~e {c |}{res}      1,232    55.12744    10.21678         18         88
{txt}lag_v2xel_~r {c |}{res}      1,232    .6191203    .3127321          0    .984111
{txt}{space 1}age_65above {c |}{res}      1,232    .1810065    .3851799          0          1
{txt}lag_v2xps_~y {c |}{res}      1,232    .6560109    .2528195   .0026379          1
{txt}lag_p_poli~2 {c |}{res}      1,179     4.77693    6.055231        -10         10
{txt}{hline 13}{c +}{hline 57}
lag_lnCNTS~e {c |}{res}      1,232    .0383215    .2940982          0   4.795791
{txt}lag_wdi_gd~r {c |}{res}      1,232    2.775016    6.568443  -62.07592   34.38958
{txt}regular_en~y {c |}{res}      1,232    .8725649    .3335951          0          1
{txt}{space 2}fem_leader {c |}{res}      1,232    .0560065    .2300276          0          1
{txt}lag_wdi_po~r {c |}{res}      1,232    1.410597    1.261416  -6.184857   7.760104
{txt}{hline 13}{c +}{hline 57}
lag_wdi~1564 {c |}{res}      1,232    60.69998    6.662753   46.93379   85.61554
{txt}lag_wdi_p~65 {c |}{res}      1,232    7.854757    5.010137   .9661854   23.15941
{txt}post_coldwar {c |}{res}      1,232    .6599026     .473934          0          1
{txt}{space 6}africa {c |}{res}      1,232    .2394481    .4269199          0          1
{txt}{space 8}asia {c |}{res}      1,232    .1712662    .3768944          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}ocenia {c |}{res}      1,232    .0413961    .1992855          0          1
{txt}north_amer~a {c |}{res}      1,232    .1152597    .3194648          0          1
{txt}lag_v2x_po~y {c |}{res}      1,231    .5651581    .2665516    .014855   .9333543
{txt}south_amer~a {c |}{res}      1,232    .1152597    .3194648          0          1
{txt}
{com}. //a model cannot have poliarchy and free & fair election
. glm office_entry_age lag_v2xps_party  lag_v2xel_frefair lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode) link(log) ml family(gaussian)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4575.0228}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4566.8021}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4566.7378}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4566.7378}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,232
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,222
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 97.88646
{txt}Deviance{col 18}={res}{col 20} 119617.2598{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 97.88646
{txt}Pearson{col 18}={res}{col 20} 119617.2598{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 97.88646

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.429769
{txt}Log pseudolikelihood{col 22}= {res}-4566.737772{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}   110921

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} .1650273{col 29}{space 2} .0554166{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} .0564127{col 70}{space 3}  .273642
{txt}lag_v2xel_fre~r {c |}{col 17}{res}{space 2}-.0153425{col 29}{space 2} .0361912{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4}-.0862759{col 70}{space 3} .0555908
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2}  .038527{col 29}{space 2} .0112273{col 40}{space 1}    3.43{col 49}{space 3}0.001{col 57}{space 4}  .016522{col 70}{space 3} .0605321
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0004142{col 29}{space 2} .0008671{col 40}{space 1}   -0.48{col 49}{space 3}0.633{col 57}{space 4}-.0021136{col 70}{space 3} .0012852
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .0638849{col 29}{space 2} .0211231{col 40}{space 1}    3.02{col 49}{space 3}0.002{col 57}{space 4} .0224843{col 70}{space 3} .1052855
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.0373351{col 29}{space 2} .0230119{col 40}{space 1}   -1.62{col 49}{space 3}0.105{col 57}{space 4}-.0824376{col 70}{space 3} .0077674
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0159739{col 29}{space 2} .0090146{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}-.0016944{col 70}{space 3} .0336422
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0048931{col 29}{space 2} .0020404{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .0008941{col 70}{space 3} .0088922
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0092604{col 29}{space 2} .0028381{col 40}{space 1}   -3.26{col 49}{space 3}0.001{col 57}{space 4} -.014823{col 70}{space 3}-.0036978
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 3.608935{col 29}{space 2} .1121172{col 40}{space 1}   32.19{col 49}{space 3}0.000{col 57}{space 4}  3.38919{col 70}{space 3} 3.828681
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4566.3852}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,232
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,229
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 97.27325
{txt}Deviance{col 18}={res}{col 20} 119548.8184{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 97.27325
{txt}Pearson{col 18}={res}{col 20} 119548.8184{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 97.27325

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.417833
{txt}Log likelihood{col 18}= {res}-4566.385215{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 110802.8

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}      OIM
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}_hat {c |}{col 17}{res}{space 2}  295.797{col 29}{space 2} 576.0336{col 40}{space 1}    0.51{col 49}{space 3}0.608{col 57}{space 4}-833.2081{col 70}{space 3} 1424.802
{txt}{space 9}_hatsq {c |}{col 17}{res}{space 2}-29.96119{col 29}{space 2} 71.84471{col 40}{space 1}   -0.42{col 49}{space 3}0.677{col 57}{space 4}-170.7742{col 70}{space 3} 110.8519
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -649.085{col 29}{space 2} 1154.573{col 40}{space 1}   -0.56{col 49}{space 3}0.574{col 57}{space 4}-2912.007{col 70}{space 3} 1613.837
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. glm office_entry_age lag_v2xps_party lag_v2x_polyarchy  lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode) link(log) ml family(gaussian)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4570.6716}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4562.4714}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4562.4074}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4562.4074}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,231
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,221
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 97.78799
{txt}Deviance{col 18}={res}{col 20} 119399.1374{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 97.78799
{txt}Pearson{col 18}={res}{col 20} 119399.1374{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 97.78799

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.428769
{txt}Log pseudolikelihood{col 22}= {res}-4562.407411{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}   110711

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2}  .178672{col 29}{space 2} .0541085{col 40}{space 1}    3.30{col 49}{space 3}0.001{col 57}{space 4} .0726212{col 70}{space 3} .2847227
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-.0467826{col 29}{space 2} .0389192{col 40}{space 1}   -1.20{col 49}{space 3}0.229{col 57}{space 4}-.1230629{col 70}{space 3} .0294976
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .0383032{col 29}{space 2} .0113691{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0160201{col 70}{space 3} .0605863
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0004062{col 29}{space 2} .0008462{col 40}{space 1}   -0.48{col 49}{space 3}0.631{col 57}{space 4}-.0020647{col 70}{space 3} .0012524
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .0667442{col 29}{space 2} .0211744{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} .0252431{col 70}{space 3} .1082454
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.0363918{col 29}{space 2} .0232044{col 40}{space 1}   -1.57{col 49}{space 3}0.117{col 57}{space 4}-.0818716{col 70}{space 3} .0090881
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0165705{col 29}{space 2} .0089885{col 40}{space 1}    1.84{col 49}{space 3}0.065{col 57}{space 4}-.0010467{col 70}{space 3} .0341876
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0048924{col 29}{space 2} .0020088{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .0009552{col 70}{space 3} .0088296
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0086188{col 29}{space 2} .0027976{col 40}{space 1}   -3.08{col 49}{space 3}0.002{col 57}{space 4} -.014102{col 70}{space 3}-.0031356
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 3.608569{col 29}{space 2} .1111073{col 40}{space 1}   32.48{col 49}{space 3}0.000{col 57}{space 4} 3.390803{col 70}{space 3} 3.826335
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4562.0581}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,231
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,228
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}  97.1754
{txt}Deviance{col 18}={res}{col 20} 119331.3938{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70}  97.1754
{txt}Pearson{col 18}={res}{col 20} 119331.3938{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70}  97.1754

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.416829
{txt}Log likelihood{col 18}= {res}-4562.058095{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 110593.5

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}      OIM
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}_hat {c |}{col 17}{res}{space 2}  280.966{col 29}{space 2}  561.553{col 40}{space 1}    0.50{col 49}{space 3}0.617{col 57}{space 4}-819.6576{col 70}{space 3}  1381.59
{txt}{space 9}_hatsq {c |}{col 17}{res}{space 2}-28.09887{col 29}{space 2} 70.02309{col 40}{space 1}   -0.40{col 49}{space 3}0.688{col 57}{space 4}-165.3416{col 70}{space 3} 109.1439
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-619.5601{col 29}{space 2} 1125.799{col 40}{space 1}   -0.55{col 49}{space 3}0.582{col 57}{space 4}-2826.085{col 70}{space 3} 1586.965
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. glm office_entry_age lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode) link(log) ml family(gaussian)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4541.0602}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4532.8419}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4532.7775}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4532.7775}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,231
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,215
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 93.65224
{txt}Deviance{col 18}={res}{col 20} 113787.4728{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 93.65224
{txt}Pearson{col 18}={res}{col 20} 113787.4728{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 93.65224

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.390378
{txt}Log pseudolikelihood{col 22}= {res}-4532.777523{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}   105142

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} .1527948{col 29}{space 2} .0487928{col 40}{space 1}    3.13{col 49}{space 3}0.002{col 57}{space 4} .0571627{col 70}{space 3} .2484269
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-.0049387{col 29}{space 2} .0402969{col 40}{space 1}   -0.12{col 49}{space 3}0.902{col 57}{space 4}-.0839191{col 70}{space 3} .0740418
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .0370329{col 29}{space 2} .0112844{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4}  .014916{col 70}{space 3} .0591498
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0004998{col 29}{space 2} .0009113{col 40}{space 1}   -0.55{col 49}{space 3}0.583{col 57}{space 4}-.0022859{col 70}{space 3} .0012863
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .0635382{col 29}{space 2} .0205643{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} .0232329{col 70}{space 3} .1038434
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.0505596{col 29}{space 2} .0236639{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}  -.09694{col 70}{space 3}-.0041792
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0129006{col 29}{space 2} .0084653{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.0036911{col 70}{space 3} .0294923
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0034441{col 29}{space 2} .0019854{col 40}{space 1}    1.73{col 49}{space 3}0.083{col 57}{space 4}-.0004473{col 70}{space 3} .0073354
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0019171{col 29}{space 2}  .003291{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4}-.0083674{col 70}{space 3} .0045332
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .0043511{col 29}{space 2} .0147376{col 40}{space 1}    0.30{col 49}{space 3}0.768{col 57}{space 4}-.0245341{col 70}{space 3} .0332362
{txt}{space 9}africa {c |}{col 17}{res}{space 2} .0874769{col 29}{space 2} .0394414{col 40}{space 1}    2.22{col 49}{space 3}0.027{col 57}{space 4} .0101732{col 70}{space 3} .1647806
{txt}{space 11}asia {c |}{col 17}{res}{space 2} .1354666{col 29}{space 2} .0370038{col 40}{space 1}    3.66{col 49}{space 3}0.000{col 57}{space 4} .0629405{col 70}{space 3} .2079927
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .0080772{col 29}{space 2} .0474143{col 40}{space 1}    0.17{col 49}{space 3}0.865{col 57}{space 4}-.0848532{col 70}{space 3} .1010076
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} .0341927{col 29}{space 2} .0359122{col 40}{space 1}    0.95{col 49}{space 3}0.341{col 57}{space 4} -.036194{col 70}{space 3} .1045794
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} .0832144{col 29}{space 2} .0339731{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4} .0166284{col 70}{space 3} .1498004
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  3.58457{col 29}{space 2}  .105454{col 40}{space 1}   33.99{col 49}{space 3}0.000{col 57}{space 4} 3.377884{col 70}{space 3} 3.791256
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4532.6763}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,231
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,228
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 92.64558
{txt}Deviance{col 18}={res}{col 20} 113768.7683{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 92.64558
{txt}Pearson{col 18}={res}{col 20} 113768.7683{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 92.64558

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.369092
{txt}Log likelihood{col 18}= {res}-4532.676339{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 105030.8

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}      OIM
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}_hat {c |}{col 17}{res}{space 2}-358.3667{col 29}{space 2} 421.0615{col 40}{space 1}   -0.85{col 49}{space 3}0.395{col 57}{space 4}-1183.632{col 70}{space 3} 466.8988
{txt}{space 9}_hatsq {c |}{col 17}{res}{space 2} 51.50066{col 29}{space 2} 52.38523{col 40}{space 1}    0.98{col 49}{space 3}0.326{col 57}{space 4}-51.17251{col 70}{space 3} 154.1738
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 663.9692{col 29}{space 2} 845.9857{col 40}{space 1}    0.78{col 49}{space 3}0.433{col 57}{space 4}-994.1323{col 70}{space 3} 2322.071
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. glm office_entry_age lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode) link(log) ml family(gaussian)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4354.5034}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4346.5301}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4346.4667}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4346.4667}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,179
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,163
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}   94.531
{txt}Deviance{col 18}={res}{col 20} 109939.5485{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70}   94.531
{txt}Pearson{col 18}={res}{col 20} 109939.5485{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70}   94.531

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 7.400283
{txt}Log pseudolikelihood{col 22}= {res}-4346.466679{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 101714.3

{txt}{ralign 81:(Std. Err. adjusted for {res:149} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} .1492603{col 29}{space 2} .0462395{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} .0586325{col 70}{space 3} .2398881
{txt}{space 2}lag_p_polity2 {c |}{col 17}{res}{space 2} .0003414{col 29}{space 2} .0015671{col 40}{space 1}    0.22{col 49}{space 3}0.828{col 57}{space 4}-.0027301{col 70}{space 3}  .003413
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .0366469{col 29}{space 2} .0126429{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .0118672{col 70}{space 3} .0614266
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0003907{col 29}{space 2} .0009815{col 40}{space 1}   -0.40{col 49}{space 3}0.691{col 57}{space 4}-.0023143{col 70}{space 3}  .001533
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .0635623{col 29}{space 2}  .020753{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} .0228872{col 70}{space 3} .1042374
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.0504498{col 29}{space 2} .0244347{col 40}{space 1}   -2.06{col 49}{space 3}0.039{col 57}{space 4}-.0983409{col 70}{space 3}-.0025587
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0141942{col 29}{space 2} .0089721{col 40}{space 1}    1.58{col 49}{space 3}0.114{col 57}{space 4}-.0033909{col 70}{space 3} .0317792
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0035257{col 29}{space 2} .0020418{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}-.0004762{col 70}{space 3} .0075277
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0017852{col 29}{space 2} .0036202{col 40}{space 1}   -0.49{col 49}{space 3}0.622{col 57}{space 4}-.0088806{col 70}{space 3} .0053103
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .0039984{col 29}{space 2} .0148947{col 40}{space 1}    0.27{col 49}{space 3}0.788{col 57}{space 4}-.0251948{col 70}{space 3} .0331915
{txt}{space 9}africa {c |}{col 17}{res}{space 2}    .0934{col 29}{space 2} .0427392{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0096326{col 70}{space 3} .1771674
{txt}{space 11}asia {c |}{col 17}{res}{space 2} .1444766{col 29}{space 2} .0398013{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} .0664674{col 70}{space 3} .2224857
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .0122231{col 29}{space 2} .0503515{col 40}{space 1}    0.24{col 49}{space 3}0.808{col 57}{space 4}-.0864641{col 70}{space 3} .1109103
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} .0408543{col 29}{space 2} .0403544{col 40}{space 1}    1.01{col 49}{space 3}0.311{col 57}{space 4}-.0382388{col 70}{space 3} .1199474
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} .0889388{col 29}{space 2} .0381867{col 40}{space 1}    2.33{col 49}{space 3}0.020{col 57}{space 4} .0140943{col 70}{space 3} .1637834
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 3.568424{col 29}{space 2} .1092349{col 40}{space 1}   32.67{col 49}{space 3}0.000{col 57}{space 4} 3.354328{col 70}{space 3} 3.782521
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4346.2426}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}     1,179
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,176
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 93.45048
{txt}Deviance{col 18}={res}{col 20} 109897.7692{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 93.45048
{txt}Pearson{col 18}={res}{col 20} 109897.7692{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 93.45048

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70}  7.37785
{txt}Log likelihood{col 18}= {res}-4346.242614{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 101580.6

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}      OIM
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}_hat {c |}{col 17}{res}{space 2}-441.2939{col 29}{space 2} 410.4394{col 40}{space 1}   -1.08{col 49}{space 3}0.282{col 57}{space 4} -1245.74{col 70}{space 3} 363.1526
{txt}{space 9}_hatsq {c |}{col 17}{res}{space 2} 61.82375{col 29}{space 2}  51.0855{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4}-38.30198{col 70}{space 3} 161.9495
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 830.4603{col 29}{space 2}  824.281{col 40}{space 1}    1.01{col 49}{space 3}0.314{col 57}{space 4}-785.1008{col 70}{space 3} 2446.021
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. //quietly glm office_entry_age lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode) link(log) ml family(gaussian)
. //coefplot, drop(_cons) xline(0)
. margins, at (lag_v2xps_party=(0(.02)1))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,179
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean office_entry_age, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 49.97818{col 26}{space 2} 1.531045{col 37}{space 1}   32.64{col 46}{space 3}0.000{col 54}{space 4} 46.97739{col 67}{space 3} 52.97897
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  50.1276{col 26}{space 2} 1.491191{col 37}{space 1}   33.62{col 46}{space 3}0.000{col 54}{space 4} 47.20492{col 67}{space 3} 53.05028
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 50.27746{col 26}{space 2} 1.451207{col 37}{space 1}   34.65{col 46}{space 3}0.000{col 54}{space 4} 47.43315{col 67}{space 3} 53.12177
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 50.42777{col 26}{space 2} 1.411103{col 37}{space 1}   35.74{col 46}{space 3}0.000{col 54}{space 4} 47.66206{col 67}{space 3} 53.19349
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 50.57854{col 26}{space 2} 1.370894{col 37}{space 1}   36.89{col 46}{space 3}0.000{col 54}{space 4} 47.89163{col 67}{space 3} 53.26544
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 50.72975{col 26}{space 2} 1.330593{col 37}{space 1}   38.13{col 46}{space 3}0.000{col 54}{space 4} 48.12184{col 67}{space 3} 53.33766
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 50.88141{col 26}{space 2} 1.290218{col 37}{space 1}   39.44{col 46}{space 3}0.000{col 54}{space 4} 48.35263{col 67}{space 3} 53.41019
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 51.03353{col 26}{space 2} 1.249788{col 37}{space 1}   40.83{col 46}{space 3}0.000{col 54}{space 4} 48.58399{col 67}{space 3} 53.48307
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 51.18611{col 26}{space 2} 1.209327{col 37}{space 1}   42.33{col 46}{space 3}0.000{col 54}{space 4} 48.81587{col 67}{space 3} 53.55634
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 51.33914{col 26}{space 2} 1.168859{col 37}{space 1}   43.92{col 46}{space 3}0.000{col 54}{space 4} 49.04821{col 67}{space 3} 53.63006
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 51.49262{col 26}{space 2} 1.128416{col 37}{space 1}   45.63{col 46}{space 3}0.000{col 54}{space 4} 49.28097{col 67}{space 3} 53.70428
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 51.64657{col 26}{space 2} 1.088033{col 37}{space 1}   47.47{col 46}{space 3}0.000{col 54}{space 4} 49.51406{col 67}{space 3} 53.77907
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 51.80097{col 26}{space 2}  1.04775{col 37}{space 1}   49.44{col 46}{space 3}0.000{col 54}{space 4} 49.74742{col 67}{space 3} 53.85453
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 51.95584{col 26}{space 2} 1.007615{col 37}{space 1}   51.56{col 46}{space 3}0.000{col 54}{space 4} 49.98095{col 67}{space 3} 53.93073
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 52.11117{col 26}{space 2} .9676853{col 37}{space 1}   53.85{col 46}{space 3}0.000{col 54}{space 4} 50.21454{col 67}{space 3}  54.0078
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 52.26697{col 26}{space 2} .9280263{col 37}{space 1}   56.32{col 46}{space 3}0.000{col 54}{space 4} 50.44807{col 67}{space 3} 54.08587
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 52.42323{col 26}{space 2} .8887168{col 37}{space 1}   58.99{col 46}{space 3}0.000{col 54}{space 4} 50.68138{col 67}{space 3} 54.16508
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 52.57996{col 26}{space 2} .8498499{col 37}{space 1}   61.87{col 46}{space 3}0.000{col 54}{space 4} 50.91428{col 67}{space 3} 54.24563
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 52.73715{col 26}{space 2} .8115366{col 37}{space 1}   64.98{col 46}{space 3}0.000{col 54}{space 4} 51.14657{col 67}{space 3} 54.32774
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 52.89482{col 26}{space 2} .7739096{col 37}{space 1}   68.35{col 46}{space 3}0.000{col 54}{space 4} 51.37798{col 67}{space 3} 54.41165
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 53.05296{col 26}{space 2} .7371273{col 37}{space 1}   71.97{col 46}{space 3}0.000{col 54}{space 4} 51.60821{col 67}{space 3}  54.4977
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 53.21157{col 26}{space 2} .7013795{col 37}{space 1}   75.87{col 46}{space 3}0.000{col 54}{space 4} 51.83689{col 67}{space 3} 54.58625
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 53.37065{col 26}{space 2} .6668933{col 37}{space 1}   80.03{col 46}{space 3}0.000{col 54}{space 4} 52.06357{col 67}{space 3} 54.67774
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 53.53021{col 26}{space 2}  .633939{col 37}{space 1}   84.44{col 46}{space 3}0.000{col 54}{space 4} 52.28772{col 67}{space 3} 54.77271
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 53.69025{col 26}{space 2} .6028366{col 37}{space 1}   89.06{col 46}{space 3}0.000{col 54}{space 4} 52.50871{col 67}{space 3} 54.87179
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 53.85077{col 26}{space 2} .5739602{col 37}{space 1}   93.82{col 46}{space 3}0.000{col 54}{space 4} 52.72582{col 67}{space 3} 54.97571
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 54.01176{col 26}{space 2} .5477396{col 37}{space 1}   98.61{col 46}{space 3}0.000{col 54}{space 4} 52.93821{col 67}{space 3} 55.08531
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 54.17324{col 26}{space 2} .5246548{col 37}{space 1}  103.26{col 46}{space 3}0.000{col 54}{space 4} 53.14493{col 67}{space 3} 55.20154
{txt}{space 9}29  {c |}{col 14}{res}{space 2}  54.3352{col 26}{space 2} .5052221{col 37}{space 1}  107.55{col 46}{space 3}0.000{col 54}{space 4} 53.34498{col 67}{space 3} 55.32542
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 54.49764{col 26}{space 2} .4899658{col 37}{space 1}  111.23{col 46}{space 3}0.000{col 54}{space 4} 53.53733{col 67}{space 3} 55.45796
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 54.66057{col 26}{space 2} .4793779{col 37}{space 1}  114.02{col 46}{space 3}0.000{col 54}{space 4} 53.72101{col 67}{space 3} 55.60014
{txt}{space 9}32  {c |}{col 14}{res}{space 2} 54.82399{col 26}{space 2} .4738666{col 37}{space 1}  115.69{col 46}{space 3}0.000{col 54}{space 4} 53.89523{col 67}{space 3} 55.75275
{txt}{space 9}33  {c |}{col 14}{res}{space 2}  54.9879{col 26}{space 2} .4737051{col 37}{space 1}  116.08{col 46}{space 3}0.000{col 54}{space 4} 54.05945{col 67}{space 3} 55.91634
{txt}{space 9}34  {c |}{col 14}{res}{space 2} 55.15229{col 26}{space 2} .4789954{col 37}{space 1}  115.14{col 46}{space 3}0.000{col 54}{space 4} 54.21348{col 67}{space 3}  56.0911
{txt}{space 9}35  {c |}{col 14}{res}{space 2} 55.31718{col 26}{space 2}  .489656{col 37}{space 1}  112.97{col 46}{space 3}0.000{col 54}{space 4} 54.35747{col 67}{space 3} 56.27689
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 55.48256{col 26}{space 2} .5054406{col 37}{space 1}  109.77{col 46}{space 3}0.000{col 54}{space 4} 54.49191{col 67}{space 3}  56.4732
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 55.64843{col 26}{space 2}  .525979{col 37}{space 1}  105.80{col 46}{space 3}0.000{col 54}{space 4} 54.61753{col 67}{space 3} 56.67933
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  55.8148{col 26}{space 2} .5508272{col 37}{space 1}  101.33{col 46}{space 3}0.000{col 54}{space 4}  54.7352{col 67}{space 3}  56.8944
{txt}{space 9}39  {c |}{col 14}{res}{space 2} 55.98167{col 26}{space 2} .5795157{col 37}{space 1}   96.60{col 46}{space 3}0.000{col 54}{space 4} 54.84584{col 67}{space 3}  57.1175
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 56.14904{col 26}{space 2} .6115852{col 37}{space 1}   91.81{col 46}{space 3}0.000{col 54}{space 4} 54.95035{col 67}{space 3} 57.34772
{txt}{space 9}41  {c |}{col 14}{res}{space 2}  56.3169{col 26}{space 2} .6466103{col 37}{space 1}   87.10{col 46}{space 3}0.000{col 54}{space 4} 55.04957{col 67}{space 3} 57.58424
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 56.48527{col 26}{space 2} .6842113{col 37}{space 1}   82.56{col 46}{space 3}0.000{col 54}{space 4} 55.14424{col 67}{space 3}  57.8263
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 56.65414{col 26}{space 2} .7240577{col 37}{space 1}   78.25{col 46}{space 3}0.000{col 54}{space 4} 55.23502{col 67}{space 3} 58.07327
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 56.82352{col 26}{space 2} .7658671{col 37}{space 1}   74.20{col 46}{space 3}0.000{col 54}{space 4} 55.32245{col 67}{space 3} 58.32459
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  56.9934{col 26}{space 2} .8094001{col 37}{space 1}   70.41{col 46}{space 3}0.000{col 54}{space 4} 55.40701{col 67}{space 3}  58.5798
{txt}{space 9}46  {c |}{col 14}{res}{space 2}  57.1638{col 26}{space 2} .8544555{col 37}{space 1}   66.90{col 46}{space 3}0.000{col 54}{space 4} 55.48909{col 67}{space 3}  58.8385
{txt}{space 9}47  {c |}{col 14}{res}{space 2}  57.3347{col 26}{space 2} .9008647{col 37}{space 1}   63.64{col 46}{space 3}0.000{col 54}{space 4} 55.56903{col 67}{space 3} 59.10036
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 57.50611{col 26}{space 2}  .948486{col 37}{space 1}   60.63{col 46}{space 3}0.000{col 54}{space 4} 55.64711{col 67}{space 3} 59.36511
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 57.67803{col 26}{space 2} .9972013{col 37}{space 1}   57.84{col 46}{space 3}0.000{col 54}{space 4} 55.72355{col 67}{space 3} 59.63251
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 57.85047{col 26}{space 2} 1.046911{col 37}{space 1}   55.26{col 46}{space 3}0.000{col 54}{space 4} 55.79856{col 67}{space 3} 59.90238
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 58.02342{col 26}{space 2} 1.097531{col 37}{space 1}   52.87{col 46}{space 3}0.000{col 54}{space 4}  55.8723{col 67}{space 3} 60.17454
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lag_v2xps_party{p_end}
{res}{txt}
{com}. 
. 
. 
. //Replicate the results in linear regression 
. //a model cannot have poliarchy and free & fair election
. reg office_entry_age lag_v2xps_party  lag_v2xel_frefair lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode) 

{txt}Linear regression                               Number of obs     = {res}     1,232
                                                {txt}F(9, 153)         =  {res}     5.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0697
                                                {txt}Root MSE          =    {res} 9.8906

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 8.935364{col 29}{space 2} 3.007935{col 40}{space 1}    2.97{col 49}{space 3}0.003{col 57}{space 4} 2.992916{col 70}{space 3} 14.87781
{txt}lag_v2xel_fre~r {c |}{col 17}{res}{space 2}-.9217235{col 29}{space 2} 1.981996{col 40}{space 1}   -0.47{col 49}{space 3}0.643{col 57}{space 4}-4.837336{col 70}{space 3} 2.993889
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2}  2.29053{col 29}{space 2} .7551331{col 40}{space 1}    3.03{col 49}{space 3}0.003{col 57}{space 4} .7986962{col 70}{space 3} 3.782364
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0281819{col 29}{space 2} .0473842{col 40}{space 1}   -0.59{col 49}{space 3}0.553{col 57}{space 4}-.1217937{col 70}{space 3} .0654298
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} 3.398712{col 29}{space 2} 1.107043{col 40}{space 1}    3.07{col 49}{space 3}0.003{col 57}{space 4} 1.211648{col 70}{space 3} 5.585775
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-2.026032{col 29}{space 2} 1.262683{col 40}{space 1}   -1.60{col 49}{space 3}0.111{col 57}{space 4}-4.520575{col 70}{space 3} .4685117
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .9979286{col 29}{space 2} .5177278{col 40}{space 1}    1.93{col 49}{space 3}0.056{col 57}{space 4}-.0248894{col 70}{space 3} 2.020747
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .2951445{col 29}{space 2} .1200659{col 40}{space 1}    2.46{col 49}{space 3}0.015{col 57}{space 4} .0579434{col 70}{space 3} .5323456
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.4998202{col 29}{space 2} .1526009{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4}-.8012971{col 70}{space 3}-.1983434
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 31.57772{col 29}{space 2} 6.659632{col 40}{space 1}    4.74{col 49}{space 3}0.000{col 57}{space 4} 18.42102{col 70}{space 3} 44.73443
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. collin office_entry_age lag_v2xps_party  lag_v2xel_frefair lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1
{txt}(obs=1,232)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}office_entry_age      1.07    1.04    0.9303      0.0697
lag_v2xps_party      2.68    1.64    0.3733      0.6267
lag_v2xel_frefair      2.55    1.60    0.3915      0.6085
lag_lnCNTS_TerrGuerWarfare      1.01    1.01    0.9871      0.0129
lag_wdi_gdpgr      1.08    1.04    0.9280      0.0720
regular_entry      1.26    1.12    0.7954      0.2046
fem_leader      1.02    1.01    0.9824      0.0176
lag_wdi_popgr      2.39    1.54    0.4192      0.5808
lag_wdi_pop1564      2.75    1.66    0.3635      0.6365
lag_wdi_pop65      3.58    1.89    0.2790      0.7210
{txt}----------------------------------------------------
  Mean VIF{res}      1.94

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     7.2208          1.0000
    2     1.0021          2.6843
    3     0.9698          2.7286
    4     0.8408          2.9306
    5     0.6485          3.3369
    6     0.1110          8.0637
    7     0.0861          9.1581
    8     0.0622         10.7784
    9     0.0367         14.0284
    10     0.0197         19.1509
    11     0.0024         55.2836
{txt}---------------------------------
 Condition Number{res}        55.2836 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0291
{txt}
{com}. linktest 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,232
{txt}{hline 13}{c +}{hline 34}   F(2, 1229)      = {res}    46.54
{txt}       Model {c |} {res} 9047.14926         2  4523.57463   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 119447.843     1,229   97.191085   {txt}R-squared       ={res}    0.0704
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0689
{txt}       Total {c |} {res} 128494.993     1,231   104.38261   {txt}Root MSE        =   {res} 9.8586

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}office_ent~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 3.335276{col 26}{space 2} 2.387149{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-1.348062{col 67}{space 3} 8.018614
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2}-.0211254{col 26}{space 2}  .021574{col 37}{space 1}   -0.98{col 46}{space 3}0.328{col 54}{space 4}-.0634514{col 67}{space 3} .0212007
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-64.38352{col 26}{space 2}  66.0019{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-193.8724{col 67}{space 3} 65.10536
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg office_entry_age lag_v2xps_party lag_v2x_polyarchy  lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode)  

{txt}Linear regression                               Number of obs     = {res}     1,231
                                                {txt}F(9, 153)         =  {res}     5.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0713
                                                {txt}Root MSE          =    {res} 9.8856

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 9.674498{col 29}{space 2} 2.967847{col 40}{space 1}    3.26{col 49}{space 3}0.001{col 57}{space 4} 3.811249{col 70}{space 3} 15.53775
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-2.632261{col 29}{space 2} 2.152913{col 40}{space 1}   -1.22{col 49}{space 3}0.223{col 57}{space 4}-6.885535{col 70}{space 3} 1.621012
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} 2.273648{col 29}{space 2}  .760034{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .7721319{col 70}{space 3} 3.775163
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0281755{col 29}{space 2} .0464784{col 40}{space 1}   -0.61{col 49}{space 3}0.545{col 57}{space 4}-.1199977{col 70}{space 3} .0636467
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} 3.560702{col 29}{space 2} 1.115253{col 40}{space 1}    3.19{col 49}{space 3}0.002{col 57}{space 4} 1.357419{col 70}{space 3} 5.763985
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-1.960968{col 29}{space 2} 1.271015{col 40}{space 1}   -1.54{col 49}{space 3}0.125{col 57}{space 4}-4.471973{col 70}{space 3} .5500378
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} 1.035737{col 29}{space 2} .5181989{col 40}{space 1}    2.00{col 49}{space 3}0.047{col 57}{space 4} .0119886{col 70}{space 3} 2.059486
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .2947499{col 29}{space 2} .1181527{col 40}{space 1}    2.49{col 49}{space 3}0.014{col 57}{space 4} .0613285{col 70}{space 3} .5281713
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.4652755{col 29}{space 2} .1504814{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4}-.7625651{col 70}{space 3}-.1679858
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 31.56846{col 29}{space 2} 6.590428{col 40}{space 1}    4.79{col 49}{space 3}0.000{col 57}{space 4} 18.54848{col 70}{space 3} 44.58845
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. collin office_entry_age lag_v2xps_party lag_v2x_polyarchy  lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1
{txt}(obs=1,231)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}office_entry_age      1.08    1.04    0.9287      0.0713
lag_v2xps_party      2.56    1.60    0.3904      0.6096
lag_v2x_polyarchy      2.52    1.59    0.3976      0.6024
lag_lnCNTS_TerrGuerWarfare      1.01    1.01    0.9872      0.0128
lag_wdi_gdpgr      1.08    1.04    0.9292      0.0708
regular_entry      1.27    1.13    0.7871      0.2129
fem_leader      1.02    1.01    0.9810      0.0190
lag_wdi_popgr      2.39    1.55    0.4180      0.5820
lag_wdi_pop1564      2.71    1.65    0.3684      0.6316
lag_wdi_pop65      3.73    1.93    0.2679      0.7321
{txt}----------------------------------------------------
  Mean VIF{res}      1.94

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     7.2360          1.0000
    2     1.0011          2.6884
    3     0.9704          2.7306
    4     0.8401          2.9348
    5     0.6433          3.3538
    6     0.1072          8.2146
    7     0.0827          9.3562
    8     0.0598         10.9962
    9     0.0371         13.9571
    10     0.0197         19.1674
    11     0.0024         54.8911
{txt}---------------------------------
 Condition Number{res}        54.8911 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0295
{txt}
{com}. linktest

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,231
{txt}{hline 13}{c +}{hline 34}   F(2, 1228)      = {res}    47.64
{txt}       Model {c |} {res} 9251.01805         2  4625.50902   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 119234.186     1,228  97.0962426   {txt}R-squared       ={res}    0.0720
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0705
{txt}       Total {c |} {res} 128485.204     1,230  104.459515   {txt}Root MSE        =   {res} 9.8537

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}office_ent~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 3.218627{col 26}{space 2} 2.331775{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-1.356078{col 67}{space 3} 7.793331
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2}-.0200531{col 26}{space 2} .0210552{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-.0613613{col 67}{space 3} .0212551
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -61.2159{col 26}{space 2} 64.52581{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-187.8089{col 67}{space 3} 65.37713
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg office_entry_age lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode)

{txt}Linear regression                               Number of obs     = {res}     1,231
                                                {txt}F(15, 153)        =  {res}     8.53
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1141
                                                {txt}Root MSE          =    {res} 9.6793

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 8.431138{col 29}{space 2} 2.700199{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} 3.096651{col 70}{space 3} 13.76562
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-.4761988{col 29}{space 2}  2.22844{col 40}{space 1}   -0.21{col 49}{space 3}0.831{col 57}{space 4}-4.878683{col 70}{space 3} 3.926286
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} 2.182246{col 29}{space 2}  .740074{col 40}{space 1}    2.95{col 49}{space 3}0.004{col 57}{space 4} .7201634{col 70}{space 3} 3.644329
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0287776{col 29}{space 2} .0497109{col 40}{space 1}   -0.58{col 49}{space 3}0.564{col 57}{space 4} -.126986{col 70}{space 3} .0694307
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} 3.379388{col 29}{space 2} 1.074042{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} 1.257521{col 70}{space 3} 5.501256
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}   -2.658{col 29}{space 2} 1.286699{col 40}{space 1}   -2.07{col 49}{space 3}0.041{col 57}{space 4}-5.199991{col 70}{space 3}-.1160092
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .7738017{col 29}{space 2} .5012425{col 40}{space 1}    1.54{col 49}{space 3}0.125{col 57}{space 4}-.2164482{col 70}{space 3} 1.764052
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .2127877{col 29}{space 2} .1201031{col 40}{space 1}    1.77{col 49}{space 3}0.078{col 57}{space 4}-.0244868{col 70}{space 3} .4500622
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.1216615{col 29}{space 2} .1943228{col 40}{space 1}   -0.63{col 49}{space 3}0.532{col 57}{space 4}-.5055637{col 70}{space 3} .2622407
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2}   .24643{col 29}{space 2} .8207682{col 40}{space 1}    0.30{col 49}{space 3}0.764{col 57}{space 4}-1.375072{col 70}{space 3} 1.867932
{txt}{space 9}africa {c |}{col 17}{res}{space 2} 4.625711{col 29}{space 2} 2.251942{col 40}{space 1}    2.05{col 49}{space 3}0.042{col 57}{space 4} .1767968{col 70}{space 3} 9.074625
{txt}{space 11}asia {c |}{col 17}{res}{space 2} 7.488207{col 29}{space 2} 2.135351{col 40}{space 1}    3.51{col 49}{space 3}0.001{col 57}{space 4} 3.269628{col 70}{space 3} 11.70679
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .4828732{col 29}{space 2} 2.629621{col 40}{space 1}    0.18{col 49}{space 3}0.855{col 57}{space 4}-4.712181{col 70}{space 3} 5.677927
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} 1.927998{col 29}{space 2} 2.027934{col 40}{space 1}    0.95{col 49}{space 3}0.343{col 57}{space 4} -2.07837{col 70}{space 3} 5.934365
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} 4.475037{col 29}{space 2}  1.93692{col 40}{space 1}    2.31{col 49}{space 3}0.022{col 57}{space 4} .6484771{col 70}{space 3} 8.301598
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  30.7009{col 29}{space 2} 6.399437{col 40}{space 1}    4.80{col 49}{space 3}0.000{col 57}{space 4} 18.05823{col 70}{space 3} 43.34356
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. collin office_entry_age lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1
{txt}(obs=1,231)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}office_entry_age      1.13    1.06    0.8859      0.1141
lag_v2xps_party      2.78    1.67    0.3593      0.6407
lag_v2x_polyarchy      2.87    1.70    0.3479      0.6521
lag_lnCNTS_TerrGuerWarfare      1.02    1.01    0.9789      0.0211
lag_wdi_gdpgr      1.11    1.05    0.9034      0.0966
regular_entry      1.31    1.14    0.7653      0.2347
fem_leader      1.03    1.02    0.9687      0.0313
lag_wdi_popgr      2.52    1.59    0.3974      0.6026
lag_wdi_pop1564      2.98    1.73    0.3350      0.6650
lag_wdi_pop65      5.30    2.30    0.1888      0.8112
post_coldwar      1.32    1.15    0.7601      0.2399
    africa      3.52    1.87    0.2845      0.7155
      asia      2.53    1.59    0.3956      0.6044
    ocenia      1.39    1.18    0.7178      0.2822
north_america      1.99    1.41    0.5026      0.4974
south_america      2.05    1.43    0.4889      0.5111
{txt}----------------------------------------------------
  Mean VIF{res}      2.18

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     8.5458          1.0000
    2     1.1695          2.7032
    3     1.0648          2.8330
    4     1.0344          2.8744
    5     1.0063          2.9142
    6     0.9654          2.9753
    7     0.9407          3.0141
    8     0.8776          3.1205
    9     0.7144          3.4586
    10     0.2989          5.3474
    11     0.1251          8.2647
    12     0.0926          9.6069
    13     0.0739         10.7502
    14     0.0388         14.8416
    15     0.0314         16.4956
    16     0.0182         21.6677
    17     0.0022         62.6986
{txt}---------------------------------
 Condition Number{res}        62.6986 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0040
{txt}
{com}. linktest

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,231
{txt}{hline 13}{c +}{hline 34}   F(2, 1228)      = {res}    79.15
{txt}       Model {c |} {res} 14670.8401         2  7335.42003   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 113814.364     1,228  92.6827067   {txt}R-squared       ={res}    0.1142
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1127
{txt}       Total {c |} {res} 128485.204     1,230  104.459515   {txt}Root MSE        =   {res} 9.6272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}office_ent~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} .2056628{col 26}{space 2} 1.879398{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-3.481523{col 67}{space 3} 3.892849
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2} .0071104{col 26}{space 2}  .016808{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.0258652{col 67}{space 3} .0400859
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 22.09656{col 26}{space 2} 52.41791{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-80.74203{col 67}{space 3} 124.9351
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg office_entry_age lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode)  

{txt}Linear regression                               Number of obs     = {res}     1,179
                                                {txt}F(15, 148)        =  {res}     8.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1200
                                                {txt}Root MSE          =    {res} 9.7258

{txt}{ralign 81:(Std. Err. adjusted for {res:149} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}office_entry_~e{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 8.162768{col 29}{space 2} 2.552029{col 40}{space 1}    3.20{col 49}{space 3}0.002{col 57}{space 4} 3.119646{col 70}{space 3} 13.20589
{txt}{space 2}lag_p_polity2 {c |}{col 17}{res}{space 2} .0146672{col 29}{space 2} .0872302{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4}-.1577103{col 70}{space 3} .1870446
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} 2.175188{col 29}{space 2} .8206236{col 40}{space 1}    2.65{col 49}{space 3}0.009{col 57}{space 4} .5535355{col 70}{space 3} 3.796841
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0235925{col 29}{space 2} .0539343{col 40}{space 1}   -0.44{col 49}{space 3}0.662{col 57}{space 4}-.1301733{col 70}{space 3} .0829883
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} 3.359828{col 29}{space 2}  1.08289{col 40}{space 1}    3.10{col 49}{space 3}0.002{col 57}{space 4} 1.219904{col 70}{space 3} 5.499753
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-2.631758{col 29}{space 2} 1.328388{col 40}{space 1}   -1.98{col 49}{space 3}0.049{col 57}{space 4}-5.256816{col 70}{space 3}-.0067008
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .8281155{col 29}{space 2} .5290598{col 40}{space 1}    1.57{col 49}{space 3}0.120{col 57}{space 4}-.2173716{col 70}{space 3} 1.873602
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .2159672{col 29}{space 2} .1238212{col 40}{space 1}    1.74{col 49}{space 3}0.083{col 57}{space 4}-.0287186{col 70}{space 3}  .460653
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2} -.116485{col 29}{space 2} .2151985{col 40}{space 1}   -0.54{col 49}{space 3}0.589{col 57}{space 4}-.5417436{col 70}{space 3} .3087735
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .2089103{col 29}{space 2}  .829075{col 40}{space 1}    0.25{col 49}{space 3}0.801{col 57}{space 4}-1.429443{col 70}{space 3} 1.847264
{txt}{space 9}africa {c |}{col 17}{res}{space 2} 4.956503{col 29}{space 2} 2.453249{col 40}{space 1}    2.02{col 49}{space 3}0.045{col 57}{space 4} .1085831{col 70}{space 3} 9.804423
{txt}{space 11}asia {c |}{col 17}{res}{space 2}  7.99536{col 29}{space 2} 2.307664{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} 3.435133{col 70}{space 3} 12.55559
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .7066299{col 29}{space 2} 2.814689{col 40}{space 1}    0.25{col 49}{space 3}0.802{col 57}{space 4}-4.855541{col 70}{space 3}   6.2688
{txt}{space 2}north_america {c |}{col 17}{res}{space 2}  2.29204{col 29}{space 2} 2.288022{col 40}{space 1}    1.00{col 49}{space 3}0.318{col 57}{space 4}-2.229371{col 70}{space 3} 6.813452
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} 4.775322{col 29}{space 2}  2.18214{col 40}{space 1}    2.19{col 49}{space 3}0.030{col 57}{space 4} .4631464{col 70}{space 3} 9.087497
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 29.92495{col 29}{space 2} 6.618421{col 40}{space 1}    4.52{col 49}{space 3}0.000{col 57}{space 4} 16.84614{col 70}{space 3} 43.00376
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. linktest

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,179
{txt}{hline 13}{c +}{hline 34}   F(2, 1176)      = {res}    80.49
{txt}       Model {c |} {res} 15052.9485         2  7526.47423   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 109962.789     1,176  93.5057726   {txt}R-squared       ={res}    0.1204
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1189
{txt}       Total {c |} {res} 125015.737     1,178  106.125413   {txt}Root MSE        =   {res} 9.6698

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}office_ent~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2}-.2979618{col 26}{space 2} 1.841401{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-3.910759{col 67}{space 3} 3.314836
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2} .0116384{col 26}{space 2}  .016496{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-.0207265{col 67}{space 3} .0440032
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  36.0353{col 26}{space 2} 51.26138{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-64.53867{col 67}{space 3} 136.6093
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. collin office_entry_age lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1
{txt}(obs=1,179)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}office_entry_age      1.14    1.07    0.8800      0.1200
lag_v2xps_party      2.49    1.58    0.4021      0.5979
lag_p_polity2      1.97    1.40    0.5083      0.4917
lag_lnCNTS_TerrGuerWarfare      1.02    1.01    0.9822      0.0178
lag_wdi_gdpgr      1.11    1.05    0.8991      0.1009
regular_entry      1.31    1.14    0.7631      0.2369
fem_leader      1.03    1.02    0.9687      0.0313
lag_wdi_popgr      2.47    1.57    0.4053      0.5947
lag_wdi_pop1564      2.94    1.71    0.3407      0.6593
lag_wdi_pop65      5.01    2.24    0.1997      0.8003
post_coldwar      1.31    1.15    0.7620      0.2380
    africa      3.68    1.92    0.2718      0.7282
      asia      2.64    1.62    0.3787      0.6213
    ocenia      1.41    1.19    0.7083      0.2917
north_america      2.09    1.45    0.4784      0.5216
south_america      2.11    1.45    0.4732      0.5268
{txt}----------------------------------------------------
  Mean VIF{res}      2.11

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     8.1722          1.0000
    2     1.3092          2.4984
    3     1.0567          2.7810
    4     1.0455          2.7958
    5     1.0077          2.8478
    6     0.9652          2.9099
    7     0.9409          2.9472
    8     0.8927          3.0256
    9     0.7220          3.3644
    10     0.2989          5.2288
    11     0.2765          5.4361
    12     0.1210          8.2196
    13     0.0932          9.3623
    14     0.0414         14.0437
    15     0.0364         14.9831
    16     0.0183         21.1294
    17     0.0022         60.8802
{txt}---------------------------------
 Condition Number{res}        60.8802 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0057
{txt}
{com}. 
. //Replicate the result with binary dependent variable age 65 & agbove
. logit age_65above lag_v2xps_party lag_v2xel_frefair lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode)  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-582.63282}  
Iteration 1:{space 3}log pseudolikelihood = {res:-562.49163}  
Iteration 2:{space 3}log pseudolikelihood = {res:-561.85597}  
Iteration 3:{space 3}log pseudolikelihood = {res:-561.85522}  
Iteration 4:{space 3}log pseudolikelihood = {res:-561.85522}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,232
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     27.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0012
{txt}Log pseudolikelihood = {res}-561.85522{txt}{col 49}Pseudo R2{col 67}= {res}    0.0357

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    age_65above{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 1.751335{col 29}{space 2} .5698882{col 40}{space 1}    3.07{col 49}{space 3}0.002{col 57}{space 4} .6343746{col 70}{space 3} 2.868295
{txt}lag_v2xel_fre~r {c |}{col 17}{res}{space 2}-.1958003{col 29}{space 2} .4384777{col 40}{space 1}   -0.45{col 49}{space 3}0.655{col 57}{space 4}-1.055201{col 70}{space 3} .6636002
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2}  .314521{col 29}{space 2} .2233837{col 40}{space 1}    1.41{col 49}{space 3}0.159{col 57}{space 4} -.123303{col 70}{space 3} .7523449
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2} -.008853{col 29}{space 2} .0115366{col 40}{space 1}   -0.77{col 49}{space 3}0.443{col 57}{space 4}-.0314644{col 70}{space 3} .0137584
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .4646424{col 29}{space 2}  .284173{col 40}{space 1}    1.64{col 49}{space 3}0.102{col 57}{space 4}-.0923264{col 70}{space 3} 1.021611
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.6360513{col 29}{space 2} .3920322{col 40}{space 1}   -1.62{col 49}{space 3}0.105{col 57}{space 4} -1.40442{col 70}{space 3} .1323178
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0850506{col 29}{space 2} .1083285{col 40}{space 1}    0.79{col 49}{space 3}0.432{col 57}{space 4}-.1272692{col 70}{space 3} .2973705
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0453681{col 29}{space 2} .0201821{col 40}{space 1}    2.25{col 49}{space 3}0.025{col 57}{space 4} .0058119{col 70}{space 3} .0849243
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.1269745{col 29}{space 2} .0414968{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4}-.2083068{col 70}{space 3}-.0456423
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.845307{col 29}{space 2} 1.134668{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4}-7.069215{col 70}{space 3}  -2.6214
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. collin age_65above lag_v2xps_party lag_v2xel_frefair lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1
{txt}(obs=1,232)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}age_65above      1.03    1.02    0.9667      0.0333
lag_v2xps_party      2.65    1.63    0.3768      0.6232
lag_v2xel_frefair      2.55    1.60    0.3915      0.6085
lag_lnCNTS_TerrGuerWarfare      1.01    1.01    0.9895      0.0105
lag_wdi_gdpgr      1.08    1.04    0.9279      0.0721
regular_entry      1.25    1.12    0.8019      0.1981
fem_leader      1.02    1.01    0.9823      0.0177
lag_wdi_popgr      2.37    1.54    0.4217      0.5783
lag_wdi_pop1564      2.73    1.65    0.3669      0.6331
lag_wdi_pop65      3.57    1.89    0.2798      0.7202
{txt}----------------------------------------------------
  Mean VIF{res}      1.93

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.4812          1.0000
    2     1.0235          2.5165
    3     0.9785          2.5737
    4     0.8451          2.7693
    5     0.7828          2.8774
    6     0.6104          3.2585
    7     0.1071          7.7802
    8     0.0820          8.8925
    9     0.0517         11.1998
    10     0.0355         13.5025
    11     0.0024         52.4488
{txt}---------------------------------
 Condition Number{res}        52.4488 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0302
{txt}
{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-582.63282}  
Iteration 1:{space 3}log likelihood = {res:-562.81458}  
Iteration 2:{space 3}log likelihood = {res:-561.55231}  
Iteration 3:{space 3}log likelihood = {res:-561.54996}  
Iteration 4:{space 3}log likelihood = {res:-561.54996}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,232
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     42.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-561.54996{txt}{col 49}Pseudo R2{col 67}= {res}    0.0362

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} age_65above{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 1.502789{col 26}{space 2} .6610067{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .2072398{col 67}{space 3} 2.798338
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2} .1726961{col 26}{space 2} .2189311{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4} -.256401{col 67}{space 3} .6017931
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3268687{col 26}{space 2}  .483663{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.6210935{col 67}{space 3} 1.274831
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit age_65above  lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1, cluster(COWcode)  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-582.43306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.06965}  
Iteration 2:{space 3}log pseudolikelihood = {res:-560.37349}  
Iteration 3:{space 3}log pseudolikelihood = {res:-560.37269}  
Iteration 4:{space 3}log pseudolikelihood = {res:-560.37269}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,231
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     28.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007
{txt}Log pseudolikelihood = {res}-560.37269{txt}{col 49}Pseudo R2{col 67}= {res}    0.0379

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    age_65above{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 1.968737{col 29}{space 2} .5730497{col 40}{space 1}    3.44{col 49}{space 3}0.001{col 57}{space 4} .8455803{col 70}{space 3} 3.091894
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-.7118634{col 29}{space 2} .5310421{col 40}{space 1}   -1.34{col 49}{space 3}0.180{col 57}{space 4}-1.752687{col 70}{space 3}   .32896
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .3135517{col 29}{space 2} .2229499{col 40}{space 1}    1.41{col 49}{space 3}0.160{col 57}{space 4} -.123422{col 70}{space 3} .7505254
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0085161{col 29}{space 2} .0113922{col 40}{space 1}   -0.75{col 49}{space 3}0.455{col 57}{space 4}-.0308443{col 70}{space 3} .0138122
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2}  .512657{col 29}{space 2} .2783296{col 40}{space 1}    1.84{col 49}{space 3}0.065{col 57}{space 4}-.0328591{col 70}{space 3} 1.058173
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.6175032{col 29}{space 2} .3946357{col 40}{space 1}   -1.56{col 49}{space 3}0.118{col 57}{space 4}-1.390975{col 70}{space 3} .1559685
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0947205{col 29}{space 2}  .107424{col 40}{space 1}    0.88{col 49}{space 3}0.378{col 57}{space 4}-.1158266{col 70}{space 3} .3052676
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0454774{col 29}{space 2} .0199796{col 40}{space 1}    2.28{col 49}{space 3}0.023{col 57}{space 4}  .006318{col 70}{space 3} .0846367
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.1155119{col 29}{space 2} .0414198{col 40}{space 1}   -2.79{col 49}{space 3}0.005{col 57}{space 4}-.1966931{col 70}{space 3}-.0343306
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.862782{col 29}{space 2} 1.134235{col 40}{space 1}   -4.29{col 49}{space 3}0.000{col 57}{space 4}-7.085841{col 70}{space 3}-2.639723
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. collin age_65above  lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65   if _merge==3 & sample==1
{txt}(obs=1,231)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}age_65above      1.04    1.02    0.9642      0.0358
lag_v2xps_party      2.54    1.59    0.3941      0.6059
lag_v2x_polyarchy      2.52    1.59    0.3972      0.6028
lag_lnCNTS_TerrGuerWarfare      1.01    1.01    0.9896      0.0104
lag_wdi_gdpgr      1.08    1.04    0.9291      0.0709
regular_entry      1.26    1.12    0.7938      0.2062
fem_leader      1.02    1.01    0.9809      0.0191
lag_wdi_popgr      2.38    1.54    0.4206      0.5794
lag_wdi_pop1564      2.69    1.64    0.3719      0.6281
lag_wdi_pop65      3.72    1.93    0.2687      0.7313
{txt}----------------------------------------------------
  Mean VIF{res}      1.92

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     6.4947          1.0000
    2     1.0233          2.5193
    3     0.9789          2.5757
    4     0.8442          2.7737
    5     0.7833          2.8794
    6     0.6066          3.2722
    7     0.1036          7.9186
    8     0.0751          9.2974
    9     0.0521         11.1692
    10     0.0358         13.4667
    11     0.0024         52.0770
{txt}---------------------------------
 Condition Number{res}        52.0770 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0307
{txt}
{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-582.43306}  
Iteration 1:{space 3}log likelihood = {res:-561.70243}  
Iteration 2:{space 3}log likelihood = {res: -560.2642}  
Iteration 3:{space 3}log likelihood = {res: -560.2615}  
Iteration 4:{space 3}log likelihood = {res: -560.2615}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,231
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     44.34
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -560.2615{txt}{col 49}Pseudo R2{col 67}= {res}    0.0381

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} age_65above{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 1.289238{col 26}{space 2}  .630616{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0532532{col 67}{space 3} 2.525222
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2} .1016769{col 26}{space 2} .2142238{col 37}{space 1}    0.47{col 46}{space 3}0.635{col 54}{space 4}-.3181941{col 67}{space 3}  .521548
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1811557{col 26}{space 2} .4495173{col 37}{space 1}    0.40{col 46}{space 3}0.687{col 54}{space 4} -.699882{col 67}{space 3} 1.062193
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit age_65above  lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode)  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-582.43306}  
Iteration 1:{space 3}log pseudolikelihood = {res:-545.11505}  
Iteration 2:{space 3}log pseudolikelihood = {res:-543.20404}  
Iteration 3:{space 3}log pseudolikelihood = {res:-543.19959}  
Iteration 4:{space 3}log pseudolikelihood = {res:-543.19959}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,231
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     56.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-543.19959{txt}{col 49}Pseudo R2{col 67}= {res}    0.0674

{txt}{ralign 81:(Std. Err. adjusted for {res:154} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    age_65above{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 1.884281{col 29}{space 2} .5430172{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} .8199865{col 70}{space 3} 2.948575
{txt}lag_v2x_polya~y {c |}{col 17}{res}{space 2}-.4032483{col 29}{space 2} .5535869{col 40}{space 1}   -0.73{col 49}{space 3}0.466{col 57}{space 4}-1.488259{col 70}{space 3} .6817621
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .3133966{col 29}{space 2} .2194154{col 40}{space 1}    1.43{col 49}{space 3}0.153{col 57}{space 4}-.1166496{col 70}{space 3} .7434428
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0058323{col 29}{space 2} .0121366{col 40}{space 1}   -0.48{col 49}{space 3}0.631{col 57}{space 4}-.0296196{col 70}{space 3} .0179549
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .4846195{col 29}{space 2} .2735711{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}  -.05157{col 70}{space 3} 1.020809
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.7553337{col 29}{space 2} .4205494{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-1.579595{col 70}{space 3}  .068928
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0435112{col 29}{space 2} .0962324{col 40}{space 1}    0.45{col 49}{space 3}0.651{col 57}{space 4}-.1451008{col 70}{space 3} .2321232
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0278276{col 29}{space 2} .0214985{col 40}{space 1}    1.29{col 49}{space 3}0.196{col 57}{space 4}-.0143086{col 70}{space 3} .0699638
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2} -.032153{col 29}{space 2}  .045331{col 40}{space 1}   -0.71{col 49}{space 3}0.478{col 57}{space 4}-.1210002{col 70}{space 3} .0566942
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .2468863{col 29}{space 2} .1954712{col 40}{space 1}    1.26{col 49}{space 3}0.207{col 57}{space 4}-.1362301{col 70}{space 3} .6300027
{txt}{space 9}africa {c |}{col 17}{res}{space 2} 1.298888{col 29}{space 2}  .476331{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4} .3652961{col 70}{space 3} 2.232479
{txt}{space 11}asia {c |}{col 17}{res}{space 2} 1.417781{col 29}{space 2} .4633905{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} .5095518{col 70}{space 3} 2.326009
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .1445349{col 29}{space 2} .7114287{col 40}{space 1}    0.20{col 49}{space 3}0.839{col 57}{space 4} -1.24984{col 70}{space 3}  1.53891
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} .5649468{col 29}{space 2} .4412312{col 40}{space 1}    1.28{col 49}{space 3}0.200{col 57}{space 4}-.2998505{col 70}{space 3} 1.429744
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} .9523357{col 29}{space 2} .4891068{col 40}{space 1}    1.95{col 49}{space 3}0.052{col 57}{space 4}-.0062959{col 70}{space 3} 1.910967
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.424029{col 29}{space 2}   1.1059{col 40}{space 1}   -4.90{col 49}{space 3}0.000{col 57}{space 4}-7.591553{col 70}{space 3}-3.256504
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. collin age_65above  lag_v2xps_party lag_v2x_polyarchy lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1
{txt}(obs=1,231)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}age_65above      1.07    1.03    0.9353      0.0647
lag_v2xps_party      2.77    1.66    0.3610      0.6390
lag_v2x_polyarchy      2.88    1.70    0.3477      0.6523
lag_lnCNTS_TerrGuerWarfare      1.02    1.01    0.9810      0.0190
lag_wdi_gdpgr      1.11    1.05    0.9036      0.0964
regular_entry      1.30    1.14    0.7713      0.2287
fem_leader      1.03    1.02    0.9691      0.0309
lag_wdi_popgr      2.51    1.58    0.3990      0.6010
lag_wdi_pop1564      2.97    1.72    0.3367      0.6633
lag_wdi_pop65      5.30    2.30    0.1888      0.8112
post_coldwar      1.32    1.15    0.7591      0.2409
    africa      3.52    1.88    0.2842      0.7158
      asia      2.49    1.58    0.4017      0.5983
    ocenia      1.39    1.18    0.7176      0.2824
north_america      1.99    1.41    0.5023      0.4977
south_america      2.04    1.43    0.4913      0.5087
{txt}----------------------------------------------------
  Mean VIF{res}      2.17

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     7.7993          1.0000
    2     1.2025          2.5467
    3     1.0844          2.6819
    4     1.0344          2.7459
    5     1.0062          2.7841
    6     0.9671          2.8399
    7     0.9468          2.8701
    8     0.8813          2.9748
    9     0.7762          3.1699
    10     0.6580          3.4428
    11     0.2965          5.1289
    12     0.1220          7.9945
    13     0.0926          9.1794
    14     0.0691         10.6278
    15     0.0360         14.7209
    16     0.0257         17.4257
    17     0.0022         59.8973
{txt}---------------------------------
 Condition Number{res}        59.8973 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0043
{txt}
{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-582.43306}  
Iteration 1:{space 3}log likelihood = {res:-545.51838}  
Iteration 2:{space 3}log likelihood = {res:-542.08544}  
Iteration 3:{space 3}log likelihood = {res:-542.08068}  
Iteration 4:{space 3}log likelihood = {res:-542.08068}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,231
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     80.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-542.08068{txt}{col 49}Pseudo R2{col 67}= {res}    0.0693

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} age_65above{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 1.639296{col 26}{space 2} .4410327{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .7748875{col 67}{space 3} 2.503704
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2}  .229624{col 26}{space 2} .1509828{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0662969{col 67}{space 3} .5255449
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3429353{col 26}{space 2} .2913685{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.2281365{col 67}{space 3}  .914007
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit age_65above  lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode)  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-559.96624}  
Iteration 1:{space 3}log pseudolikelihood = {res:-521.48918}  
Iteration 2:{space 3}log pseudolikelihood = {res:-519.50154}  
Iteration 3:{space 3}log pseudolikelihood = {res:-519.49495}  
Iteration 4:{space 3}log pseudolikelihood = {res:-519.49495}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,179
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     59.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-519.49495{txt}{col 49}Pseudo R2{col 67}= {res}    0.0723

{txt}{ralign 81:(Std. Err. adjusted for {res:149} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    age_65above{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 1.888879{col 29}{space 2}  .506255{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4}  .896637{col 70}{space 3}  2.88112
{txt}{space 2}lag_p_polity2 {c |}{col 17}{res}{space 2}-.0186105{col 29}{space 2} .0201443{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4}-.0580926{col 70}{space 3} .0208717
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .2070322{col 29}{space 2} .2475712{col 40}{space 1}    0.84{col 49}{space 3}0.403{col 57}{space 4}-.2781985{col 70}{space 3} .6922629
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0043303{col 29}{space 2} .0140868{col 40}{space 1}   -0.31{col 49}{space 3}0.759{col 57}{space 4}  -.03194{col 70}{space 3} .0232794
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .5194207{col 29}{space 2} .2854859{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4}-.0401215{col 70}{space 3} 1.078963
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.9032534{col 29}{space 2} .4438514{col 40}{space 1}   -2.04{col 49}{space 3}0.042{col 57}{space 4}-1.773186{col 70}{space 3}-.0333207
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0415878{col 29}{space 2} .0989247{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4} -.152301{col 70}{space 3} .2354766
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0319278{col 29}{space 2} .0214696{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.0101519{col 70}{space 3} .0740074
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0365087{col 29}{space 2}  .048093{col 40}{space 1}   -0.76{col 49}{space 3}0.448{col 57}{space 4}-.1307691{col 70}{space 3} .0577518
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .2890969{col 29}{space 2} .2005821{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.1040369{col 70}{space 3} .6822306
{txt}{space 9}africa {c |}{col 17}{res}{space 2} 1.355838{col 29}{space 2} .5245183{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .3278011{col 70}{space 3} 2.383875
{txt}{space 11}asia {c |}{col 17}{res}{space 2}   1.4777{col 29}{space 2} .5078417{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .4823484{col 70}{space 3} 2.473051
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .1723494{col 29}{space 2} .7396316{col 40}{space 1}    0.23{col 49}{space 3}0.816{col 57}{space 4}-1.277302{col 70}{space 3} 1.622001
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} .6162816{col 29}{space 2} .5004734{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4}-.3646281{col 70}{space 3} 1.597191
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} .9891689{col 29}{space 2} .5402786{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.0697577{col 70}{space 3} 2.048096
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.876501{col 29}{space 2} 1.099947{col 40}{space 1}   -5.34{col 49}{space 3}0.000{col 57}{space 4}-8.032358{col 70}{space 3}-3.720645
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. linktest

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-559.96624}  
Iteration 1:{space 3}log likelihood = {res:-521.72217}  
Iteration 2:{space 3}log likelihood = {res:-518.06751}  
Iteration 3:{space 3}log likelihood = {res:-518.06146}  
Iteration 4:{space 3}log likelihood = {res:-518.06146}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,179
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     83.81
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-518.06146{txt}{col 49}Pseudo R2{col 67}= {res}    0.0748

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} age_65above{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}_hat {c |}{col 14}{res}{space 2} 1.688096{col 26}{space 2} .4178359{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} .8691523{col 67}{space 3} 2.507039
{txt}{space 6}_hatsq {c |}{col 14}{res}{space 2} .2446042{col 26}{space 2} .1407691{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0312981{col 67}{space 3} .5205065
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3673007{col 26}{space 2} .2786468{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4} -.178837{col 67}{space 3} .9134385
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. collin age_65above  lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1
{txt}(obs=1,179)

  Collinearity Diagnostics

                        SQRT                   R-
  Variable      VIF     VIF    Tolerance    Squared
----------------------------------------------------
{res}age_65above      1.07    1.04    0.9313      0.0687
lag_v2xps_party      2.47    1.57    0.4041      0.5959
lag_p_polity2      1.97    1.40    0.5077      0.4923
lag_lnCNTS_TerrGuerWarfare      1.01    1.01    0.9852      0.0148
lag_wdi_gdpgr      1.11    1.05    0.8993      0.1007
regular_entry      1.30    1.14    0.7688      0.2312
fem_leader      1.03    1.02    0.9678      0.0322
lag_wdi_popgr      2.46    1.57    0.4071      0.5929
lag_wdi_pop1564      2.92    1.71    0.3423      0.6577
lag_wdi_pop65      5.01    2.24    0.1996      0.8004
post_coldwar      1.31    1.15    0.7607      0.2393
    africa      3.68    1.92    0.2718      0.7282
      asia      2.59    1.61    0.3855      0.6145
    ocenia      1.41    1.19    0.7082      0.2918
north_america      2.09    1.45    0.4783      0.5217
south_america      2.10    1.45    0.4759      0.5241
{txt}----------------------------------------------------
  Mean VIF{res}      2.10

{txt}                           Cond
        Eigenval          Index
---------------------------------
{res}    1     7.4337          1.0000
    2     1.3349          2.3598
    3     1.0732          2.6318
    4     1.0465          2.6653
    5     1.0080          2.7157
    6     0.9689          2.7698
    7     0.9454          2.8041
    8     0.9049          2.8662
    9     0.7693          3.1084
    10     0.6654          3.3425
    11     0.2974          4.9991
    12     0.2713          5.2345
    13     0.1184          7.9235
    14     0.0930          8.9425
    15     0.0410         13.4681
    16     0.0266         16.7319
    17     0.0022         58.1090
{txt}---------------------------------
 Condition Number{res}        58.1090 
{txt} Eigenvalues & Cond Index computed from scaled raw sscp (w/ intercept)
 Det(correlation matrix){res}    0.0061
{txt}
{com}. logit age_65above  lag_v2xps_party lag_p_polity2 lag_lnCNTS_TerrGuerWarfare  lag_wdi_gdpgr regular_entry fem_leader lag_wdi_popgr lag_wdi_pop1564 lag_wdi_pop65 post_coldwar africa asia ocenia north_america south_america if _merge==3 & sample==1, cluster(COWcode)  

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-559.96624}  
Iteration 1:{space 3}log pseudolikelihood = {res:-521.48918}  
Iteration 2:{space 3}log pseudolikelihood = {res:-519.50154}  
Iteration 3:{space 3}log pseudolikelihood = {res:-519.49495}  
Iteration 4:{space 3}log pseudolikelihood = {res:-519.49495}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,179
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}     59.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-519.49495{txt}{col 49}Pseudo R2{col 67}= {res}    0.0723

{txt}{ralign 81:(Std. Err. adjusted for {res:149} clusters in COWcode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    age_65above{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lag_v2xps_party {c |}{col 17}{res}{space 2} 1.888879{col 29}{space 2}  .506255{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4}  .896637{col 70}{space 3}  2.88112
{txt}{space 2}lag_p_polity2 {c |}{col 17}{res}{space 2}-.0186105{col 29}{space 2} .0201443{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4}-.0580926{col 70}{space 3} .0208717
{txt}lag_lnCNTS_Te~e {c |}{col 17}{res}{space 2} .2070322{col 29}{space 2} .2475712{col 40}{space 1}    0.84{col 49}{space 3}0.403{col 57}{space 4}-.2781985{col 70}{space 3} .6922629
{txt}{space 2}lag_wdi_gdpgr {c |}{col 17}{res}{space 2}-.0043303{col 29}{space 2} .0140868{col 40}{space 1}   -0.31{col 49}{space 3}0.759{col 57}{space 4}  -.03194{col 70}{space 3} .0232794
{txt}{space 2}regular_entry {c |}{col 17}{res}{space 2} .5194207{col 29}{space 2} .2854859{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4}-.0401215{col 70}{space 3} 1.078963
{txt}{space 5}fem_leader {c |}{col 17}{res}{space 2}-.9032534{col 29}{space 2} .4438514{col 40}{space 1}   -2.04{col 49}{space 3}0.042{col 57}{space 4}-1.773186{col 70}{space 3}-.0333207
{txt}{space 2}lag_wdi_popgr {c |}{col 17}{res}{space 2} .0415878{col 29}{space 2} .0989247{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4} -.152301{col 70}{space 3} .2354766
{txt}lag_wdi_pop1564 {c |}{col 17}{res}{space 2} .0319278{col 29}{space 2} .0214696{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.0101519{col 70}{space 3} .0740074
{txt}{space 2}lag_wdi_pop65 {c |}{col 17}{res}{space 2}-.0365087{col 29}{space 2}  .048093{col 40}{space 1}   -0.76{col 49}{space 3}0.448{col 57}{space 4}-.1307691{col 70}{space 3} .0577518
{txt}{space 3}post_coldwar {c |}{col 17}{res}{space 2} .2890969{col 29}{space 2} .2005821{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.1040369{col 70}{space 3} .6822306
{txt}{space 9}africa {c |}{col 17}{res}{space 2} 1.355838{col 29}{space 2} .5245183{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .3278011{col 70}{space 3} 2.383875
{txt}{space 11}asia {c |}{col 17}{res}{space 2}   1.4777{col 29}{space 2} .5078417{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .4823484{col 70}{space 3} 2.473051
{txt}{space 9}ocenia {c |}{col 17}{res}{space 2} .1723494{col 29}{space 2} .7396316{col 40}{space 1}    0.23{col 49}{space 3}0.816{col 57}{space 4}-1.277302{col 70}{space 3} 1.622001
{txt}{space 2}north_america {c |}{col 17}{res}{space 2} .6162816{col 29}{space 2} .5004734{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4}-.3646281{col 70}{space 3} 1.597191
{txt}{space 2}south_america {c |}{col 17}{res}{space 2} .9891689{col 29}{space 2} .5402786{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.0697577{col 70}{space 3} 2.048096
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.876501{col 29}{space 2} 1.099947{col 40}{space 1}   -5.34{col 49}{space 3}0.000{col 57}{space 4}-8.032358{col 70}{space 3}-3.720645
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at (lag_v2xps_party=(0(.02)1))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}     1,179
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(age_65above), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.02}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.04}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.06}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.08}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:lag_v2xps_~y}{space 4}{txt:=} {space 8}.68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: lag_v2xps_party{p_end}
{res}{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Madhav Joshi\Box\2021 Research\Why some countries get old leaders\Research & Politics\R&P log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Apr 2021, 16:35:13
{txt}{.-}
{smcl}
{txt}{sf}{ul off}